10.6084/m9.figshare.c.3612794_D1.v1
Jae Kim
Jae
Kim
Krešimir Josić
Krešimir
Josić
Matthew Bennett
Matthew
Bennett
Additional file 1 of The relationship between stochastic and deterministic quasi-steady state approximations
Springer Nature
2015
Stochastic QSSA
Multi-scale stochastic simulation
Hill function
Michaelis-Menten function
2015-11-23 05:00:00
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_The_relationship_between_stochastic_and_deterministic_quasi-steady_state_approximations/4368029
Figures S1–S6 and Table S1. Figure S1. Normalization of fast variables improves the numerical method testing the accuracy of the stochastic QSSA with Eq. 8. Figure S2. The distribution of R at steady state from the stochastic simulations of the full (Eqs. 1–3) and reduced model (Eq. 5) corresponding to Fig. 2 a–b. Figure S3. The distribution of S at steady state from the stochastic simulations of the full (Eq. 9) and reduced model (Eq. 10). Figure S4. The accuracy of deterministic QSSAs depends on the initial conditions. Figure S5. Fourier transforms of trajectories obtained from stochastic simulations. Figure S6. Different reductions of the negative feedback loop model with enzymatic degradation. Table S1. The propensity functions used for the stochastic simulations. (PDF 769 kb)